Sexual activity while driving: A content analysis of media reports

Sexual activity while driving fits the definition of distracted driving because it involves the diversion of attention away from the driving task. However, this risky driving behaviour has received little attention compared to other distracted driving activities. To address the lack of research on sexual activity while driving, the internet was searched from April to June 2020 for media reports in which sexual activities occurred within the cabin of a moving vehicle, taking specific note of: gender, the presence of others, time of day, use of substances, the nature of the circumstances surrounding the incident, and whether crashes had occurred. A total of 106 unique and verified cases were identified from 2004 to 2020. The reports involved 76 male (71.7%) and 30 female drivers (28.3%), and there were 43 (40.5%) serious incidents that involved a crash and 23 fatalities (21.7%). In 17 (16.0%) incidents their vehicle hit another car, and a pedestrian or cyclist was hit in 3 (2.8%) incidents. The risk of a serious incident was higher during oral sex or intercourse than solitary activities (i.e. masturbation). A total of 63 (59.5%) mild incidents (without crashes or fatalities) were identified, in which reports included accounts by witnesses or police regarding sexual activity while driving. Given the potential seriousness of incidents, this topic deserves further research to better understand the prevalence and safety implications of sexual activity while driving.     

Research in counselling and psychotherapy Post‐COVID‐19

The COVID‐19 pandemic brings to light many areas the field of counselling and psychotherapy may need to address in future research. We outline several issues stemming from or exacerbated by the pandemic and offer suggestions for future research to address the mental health needs of those impacted. Our suggestions focus on five domains: (a) the health and well‐being of helping professionals, (b) the infodemic, (c) discrimination and minority stress, (d) spiritual and existential dynamics in mental health and (e) couple and family stress and resilience. We aim to provide a multi‐systemic perspective of mental health and well‐being in the time of COVID‐19, as well as encourage current and future studies to incorporate these suggestions to advance the health and well‐being of our communities through evidence‐based treatment approaches.     

混合情绪能促进心理健康吗？

摘 要 积极和消极情绪的同时体验,即混合情绪,是生活中常见的情绪状态。健康应对的共激活模型、情绪动态模型和积极比模型一致认为混合情绪与心理健康之间呈现非线性的关系,适当的混合情绪有利于个体在困境中全面加工和整合信息,寻求意义,获得控制感,进而实现健康应对和心理症状改善,获得幸福感。未来研究应关注对非线性关系的精确描述;低压力或非压力情境下混合情绪的意义;进一步研究混合情绪促进心理健康的内部机制和影响因素。     

Depression screening and treatment among uninsured populations in Primary Care

Uninsured populations have poor treatment engagement and are less likely to receive evidence-based interventions for depression. The objective of the current study was to retrospectively examine depression screening, diagnosis, and treatment patterns among uninsured patients in primary care. Study sample included all patients (N = 11,803) seen in nine community-based clinics. Key variables included depression screener and/or a depression diagnosis, anti-depressant initiation, behavioral health visits, and patient follow up measures. Treatment patterns from the subsample of patients diagnosed with depression were analyzed by collecting the number of behavioral health visits and antidepressant use six months (180 days) following the diagnosis. Utilization of the depression screening tool was high (67%, n = 7,935) and 24% (n = 2,789) of the patients had a diagnosis of depression, however, more than half of the patients with a depression diagnosis did not have a recorded treatment plan (n = 1,474). The odds of anti-depressant use and behavioral visits for Hispanic patients were significantly greater than for Non-Hispanic patients. Universal screening with brief measures in primary care is improving, however, guideline-concordant depression treatment remains elusive for uninsured populations.     

Training Counsellors to Work with People who Live with Cancer: A Needs-led Approach to Planning

This paper traces the development of a cancer counselling service within a voluntary helping agency. The steps of recognizing the needs of people with cancer, identifying multi-faceted desired outcomes and the implementation of one specific goal, that of provision of a counselling service, are outlined. Significant events, stages and decisions made during this process are described and discussed. The emphasis throughout is on the importance of needs analysis and client group consultation in order that the planned service is best placed to meet such needs.     

Citizen Advocacy Observed: Tool or Tokenism?

Citizen advocacy, where a volunteer works in partnership with a vulnerable person, compliments self- and legal advocacy. In the context of mental health services, citizen advocacy is a tool for enabling and empowering people who use these services, and is founded on the recognition that mental health service users are frequently socially oppressed and disadvantaged. This article describes the development of a Citizen Advocacy service for people with mental health difficulties, and also the problems they brought to this service. The problems encountered in sustaining the service are noted and lessons are drawn for the future.     

Group Intervention for Adolescent Anxiety and Depression: Outcomes of a Randomized Trial with Adolescents in Kenya

Youth mental health interventions in low-resource communities may benefit from including empirically supported elements, using stigma-free content, and using trained lay-providers. We developed and evaluated such an intervention, targeting adolescent depression and anxiety in Kenya, where mental health care is limited by social stigma and a paucity of providers. Kenyan adolescents (N = 51, ages 14–17, 60.78% female) from a school in an urban slum in Nairobi with self-reported moderate-to-severe symptoms of depression or anxiety were randomized to the 4-week “Shamiri” (“thrive”) group intervention or a study skills control intervention of equal duration. The Shamiri intervention included growth mindset, gratitude, and value affirmation exercises. The content was delivered by recent high school graduates (ages 17–21, 60% male) trained as lay-providers. Participants met in school once-a-week in groups of 9–12 youths (average group size 10). Compared to the study-skills control, Shamiri produced greater reductions in adolescent depression symptoms (p = .038; d = .32) and anxiety symptoms (p = .039; d = .54) from baseline to 4-week follow-up, and greater improvements in academic performance (p = .034; d = .32) from the school-term before versus after the intervention. There were no effects on overall social support or perceived control, but the Shamiri group showed larger increases in perceived social support from friends (p = .028, d = .71). This appears to be the first report that a brief, lay-provider delivered, community-based intervention may reduce internalizing symptoms and improve academic outcomes in high-symptom adolescents in Sub-Saharan Africa. Larger replications with extended follow-ups will help gauge the strength and durability of these effects.     

Testing two variances for superiority/non-inferiority and equivalence: Using the exhaustion algorithm for sample size allocation with cost

The equality of two group variances is frequently tested in experiments. However, criticisms of null hypothesis statistical testing on means have recently arisen and there is interest in other types of statistical tests of hypotheses, such as superiority/non-inferiority and equivalence. Although these tests have become more common in psychology and social sciences, the corresponding sample size estimation for these tests is rarely discussed, especially when the sampling unit costs are unequal or group sizes are unequal for two groups. Thus, for finding optimal sample size, the present study derived an initial allocation by approximating the percentiles of an F distribution with the percentiles of the standard normal distribution and used the exhaustion algorithm to select the best combination of group sizes, thereby ensuring the resulting power reaches the designated level and is maximal with a minimal total cost. In this manner, optimization of sample size planning is achieved. The proposed sample size determination has a wide range of applications and is efficient in terms of Type I errors and statistical power in simulations. Finally, an illustrative example from a report by the Health Survey for England, 1995–1997, is presented using hypertension data. For ease of application, four R Shiny apps are provided and benchmarks for setting equivalence margins are suggested.